Association of wrist circumference with metabolic dysfunction associated fatty liver disease in the KADEM cohort by Fahad Al-Ajmi, Mohamed Abu-Farha, Mohamed Abu-Farha, Ahmed N. Albatineh, Zahraa Ali, Abdullah AL-Enezi, Mohammed Alterki, Rashed Alhammad, Retaj AlHarbi, Mohamed Shehab, Muhammad Abdul-Ghani, Muhammad Abdul-Ghani, Jehad Abubaker, Fahd Al-Mulla

“…The MAFLD stages were classified according to the controlled attenuation parameter (CAP) score into four groups: normal (<238 dB/m), S1 (238–260 dB/m), S2 (261–290 dB/m), and S3 (>290 dB/m). …”
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Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA by Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi, Kanupriya Pathak, Salam Michael Singh, Tanmoy Chakraborty

“…MenstLLaMA was developed by fine-tuning Meta-LLaMA-3-8B-Instruct, using parameter-efficient fine-tuning with low-rank adaptation to achieve domain alignment while minimizing computational overhead. …”
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Diagnosing severe falciparum malaria in parasitaemic African children: a prospective evaluation of plasma PfHRP2 measurement. by Ilse C E Hendriksen, Juliet Mwanga-Amumpaire, Lorenz von Seidlein, George Mtove, Lisa J White, Rasaq Olaosebikan, Sue J Lee, Antoinette K Tshefu, Charles Woodrow, Ben Amos, Corine Karema, Somporn Saiwaew, Kathryn Maitland, Ermelinda Gomes, Wirichada Pan-Ngum, Samwel Gesase, Kamolrat Silamut, Hugh Reyburn, Sarah Joseph, Kesinee Chotivanich, Caterina I Fanello, Nicholas P J Day, Nicholas J White, Arjen M Dondorp

“…However, a sensitivity analysis of the model indicated that the results were robust to a plausible range of parameter estimates. Further studies are needed to validate our findings.…”
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Sequencing Silicates in the Spitzer Infrared Spectrograph Debris Disk Catalog. I. Methodology for Unsupervised Clustering by Cicero X. Lu, Tushar Mittal, Christine H. Chen, Alexis Y. Li, Kadin Worthen, B. A. Sargent, Carey M. Lisse, G. C. Sloan, Dean C. Hines, Dan M. Watson, Isabel Rebollido, Bin B. Ren, Joel D. Green

“…This study introduces CLustering UnsupErvised with Sequencer (CLUES), a novel, nonparametric, fully interpretable machine learning spectral analysis tool designed to analyze and classify the spectral data of debris disks. …”
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Taming the Production of Bioluminescent Wood Using the White Rot Fungus Desarmillaria Tabescens by Francis W. M. R. Schwarze, Tiago Carvalho, Giacomo Reina, Luiz Garcia Greca, Urs Buenter, Zennat Gholam, Leonard Krupnik, Antonia Neels, Luciano Boesel, Hugh Morris, Markus Heeb, Anja Huch, Gustav Nyström, Giorgia Giovannini

“…Abstract Although bioluminescence is documented both anecdotally and experimentally, the parameters involved in the production of fungal bioluminescence during wood colonization have not been identified to date. …”
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The Magnified Waltz: Simulating Light Curves of Binary Stars Passing Through Microcaustics in Strong Lensing Galaxy Clusters by Wenwen Zheng, Xiaoting Fu, Yang Chen, Xuefei Chen, Yanjun Guo, Xuechun Chen, Huanyuan Shan, Guoliang Li

“…These features, particularly the distinct temporal variations in spectral energy distributions, offer diagnostic tools for distinguishing binary systems from single stars. …”
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Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach by Chuwei Liu, Heng Liang, Arabella H. Wan, Min Xiao, Lei Sun, Yiling Yu, Shijia Yan, Yuan Deng, Ruonian Liu, Juan Fang, Zhi Wang, Weiling He, Guohui Wan

“…Our findings highlight the potential of pum6a as a powerful tool for advancing the understanding of epitranscriptomic regulation in health and disease, paving the way for biotechnological and therapeutic applications.…”
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Ice flow line maps of three large freshwater calving glaciers in the Southern Patagonian Icefield by E. Lannutti, E. Lannutti, E. Lannutti, P. Marmolejo, J. Sanchez, I. Ortíz, M. G. Lenzano, S. Moragues, S. Moragues, A. Rivera, P. Vacaflor, G. Pereyra, H. Morales

“…We consider that the methodology used, along with the generated maps, provides excellent visual and analytical tools for identifying glacier areas, lengths, and shapes, defining ice origins and glacier catchment boundaries, and analysing zones of flow convergence and divergence—parameters that are critically important for understanding the dynamics, geometry, and evolution of glaciers in this region.…”
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Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization by Xiang Zhang, Hongjie Ma, Song Lin, Ledong Zhao, Lu Chen, Zetong Nie, Zhaoxiong Wang, Chang Liu, Xiaorong Li, Wenbo Li, Bojie Hu

“…The integration of schematic diagram generation enhances surgical planning and provides valuable educational resources, highlighting the potential of machine learning and visualization tools in improving MH surgery outcomes.…”
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iCardio: The Brazilian Population-Based Real-World Data Platform for Cardiovascular Disease by Miriam Allein Zago Marcolino, PhD, Ana Paula Beck da Silva Etges, PhD, Luciana Rodrigues de Lara, MBA, Nayê Balzan Schneider, Msc, Yohan Casiraghi, MD, Wanderson Maia Da Silva, MD, Carisi Anne Polanczyk, ScD

“…The iCardio is an online open-access platform based on real-world data that provides ready-to-use information about cardiovascular care in Brazil, which can be used as a transformative tool to sustain data-driven health policies and research in the cardiovascular field in Brazil.…”
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Freedom of Atrial Fibrillation Predictions After Pulmonary Vein Isolation: A Review of Current Evidence by Ibrahim Antoun, Ahmed Abdelrazik, Mahmoud Eldesouky, Ahmed I. Kotb, Zakkariya Vali, Abdulmalik Koya, Edward Y. M. Lau, Ivelin Koev, Riyaz Somani, G. André Ng

“…Furthermore, readily accessible electrocardiographic parameters such as prolonged P wave duration and dispersion are emphasised as practical tools for patient risk assessment. …”
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On the Use of Compressed Air and Synthetic Biodegradable Cutting Fluid to Enhance the Surface Quality of WAAM–CMT Manufactured Low-Alloy Steel Parts During Post-Processing Milling... by Déborah de Oliveira, Marcos Vinícius Gonçalves, Guilherme Menezes Ribeiro, André Luis Silva da Costa, Luis Regueiras, Tiago Silva, Abílio de Jesus, Lucival Malcher, Maksym Ziberov

“…In this sense, this work evaluates the effect of using compressed air, dry cut, and synthetic biodegradable cutting fluid at varying nozzle positions and flow rates on the surface quality of ER70S-6 steel produced by WAAM, after milling with TiAlN-coated carbide tools. To analyze the surface roughness, parameters Ra, Rq, and Rz were measured and microscopy was used to further evaluate the surfaces. …”
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Suicide risk in patients undergoing hemodialysis: a systematic review and meta-analysis of prevalence by Luigi Zerbinati, Federica Caccia, Federica Baciga, Martino Belvedere Murri, Pasquale Esposito, Rosangela Caruso, Ionut Nistor, Bjorn Meijers, Carlo Basile, Christian Combe, Luigi Grassi, Alessandro Mantovani, Yuri Battaglia

“…It varied widely, ranging from 4.0% to 57.3%, depending on the tools used (i.e. clinical interviews or self-report questionnaires). …”
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Did dingo control cause the elimination of kowaris through mesopredator release effects? A response to Wallach and O'Neill (2009) by B. L. Allen

“…Scat counts and howling can also be useful indicators of some population parameters when sampled properly (Corbett, 2001; Mitchell & Balogh, 2007). …”
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Use of ICT to Confront COVID-19 by Yousry Saber El Gamal

“…Once a person is infected, AI capabilities can also be used to determine the probability of survival and the requirement of ICU treatment for COVID-19 patients. , AI techniques, particularly machine learning algorithms, can also be used to correlate the patient’s data parameters with a specific drug’s usage. In the medical diagnosis and screening arena, AI enhanced the tools of face scanners, medical imaging, and voice detection systems for rapid diagnosis. …”
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High‐Resolution National‐Scale Water Modeling Is Enhanced by Multiscale Differentiable Physics‐Informed Machine Learning by Yalan Song, Tadd Bindas, Chaopeng Shen, Haoyu Ji, Wouter J. M. Knoben, Leo Lonzarich, Martyn P. Clark, Jiangtao Liu, Katie vanWerkhoven, Sam Lamont, Matthew Denno, Ming Pan, Yuan Yang, Jeremy Rapp, Mukesh Kumar, Farshid Rahmani, Cyril Thébault, Richard Adkins, James Halgren, Trupesh Patel, Arpita Patel, Kamlesh Arun Sawadekar, Kathryn Lawson

“…Abstract The National Water Model (NWM) is a key tool for flood forecasting, planning, and water management. …”
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Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation Therapy by Wlla E. Al-Hammad, Masahiro Kuroda, Ghaida Al Jamal, Mamiko Fujikura, Ryo Kamizaki, Kazuhiro Kuroda, Suzuka Yoshida, Yoshihide Nakamura, Masataka Oita, Yoshinori Tanabe, Kohei Sugimoto, Irfan Sugianto, Majd Barham, Nouha Tekiki, Miki Hisatomi, Junichi Asaumi

“…<b>Conclusions</b>: These results suggest that the DT model, particularly at lower MHD thresholds, may be the most reliable for clinical applications. By providing a tool for targeted DIBH implementation, this model has the potential to enhance patient-specific treatment planning and improve clinical outcomes in RT.…”
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A long-term nutritional assessment of maxillary cancer patients undergoing prosthodontic rehabilitation after surgery: A longitudinal study by Elangbam Merina Devi, Chanchal Gupta, K.P. Kochhar, Dheeraj Kumar Koli, Aditi Nanda, Veena Jain

“…However, at stage S4, all parameters were statistically comparable to S0 (p > .05) except for PG-SGA (p < .001) and SMM (p = .044). …”
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Small Modular Reactor based on NuScale with Thorium base by Diego M. E. Gonçalves, Marcelo Vilela da Silva, C. J. C. M. R. da Cunha, Giovanni L. Stefani

“…Implemented in Python, the algorithm continuously adjusted reactor parameters, logged progress, and enabled ongoing monitoring and potential restarts. …”
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A comprehensive approach to studying motor planning and execution using 3D-printed objects and motion tracking technology by Alexander Vyazmin, Sangram Behera, Sangram Behera, Geok Lan See, Geok Lan See, Victoria Moiseeva, Matteo Feurra

“…This paradigm provides robust tools for fundamental motor control research and has potential clinical applications for evaluating motor planning deficits in patients with neurological impairments.…”
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